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Computer languages of the future will be more concerned with goals and less with procedures specified by the programmer.

Marvin Minsky

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Marvin Minsky
Age: 88 †
Born: 1927
Born: August 9
Died: 2016
Died: January 24
Artificial Intelligence Researcher
Computer Scientist
Mathematician
Scientist
University Teacher
New York City
New York
Marvin Lee Minsky
Marvin L. Minsky
Language
Procedures
Languages
Goals
Computer
Concerned
Goal
Specified
Future
Programmer
Less
Programmers

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To say that the universe exists is silly, because it says that the universe is one of the things in the universe. So there's something wrong with questions like, What caused the Universe to exist?
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The principal activities of brains are making changes in themselves.
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Societies need rules that make no sense for individuals. For example, it makes no difference whether a single car drives on the left or on the right. But it makes all the difference when there are many cars!
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Once the computers got control, we might never get it back. We would survive at their sufferance. If we're lucky, they might decide to keep us as pets.
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There was a failure to recognize the deep problems in AI for instance, those captured in Blocks World. The people building physical robots learned nothing.
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Eventually, robots will make everything.
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All intelligent problem solvers are subject to the same ultimate constraints - limitations on space, time, and materials.
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What magical trick makes us intelligent? The trick is that there is no trick. The power of intelligence stems from our vast diversity, not from any single, perfect principle.
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You don't understand anything unless you understand there are at least 3 ways.
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The secret of what anything means to us depends on how we've connected it to all the other things we know. That's why it's almost always wrong to seek the real meaning of anything. A thing with just one meaning has scarcely any meaning at all.
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Will robots inherit the earth? Yes, but they will be our children.
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Theorems often tell us complex truths about the simple things, but only rarely tell us simple truths about the complex ones. To believe otherwise is wishful thinking or mathematics envy.
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We wanted to solve robot problems and needed some vision, action, reasoning, planning, and so forth. We even used some structural learning, such as was being explored by Patrick Winston.
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Everything is similar if you're willing to look far out of focus.
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But just as astronomy succeeded astrology, following Kepler's discovery of planetary regularities, the discoveries of these many principles in empirical explorations of intellectual processes in machines should lead to a science, eventually.
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One can acquire certainty only by amputating inquiry.
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It would be as useless to perceive how things 'actually look' as it would be to watch the random dots on untuned television screens.
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Anyone could learn Lisp in one day, except that if they already knew Fortran, it would take three days.
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Experience has shown that science frequently develops most fruitfully once we learn to examine the things that seem the simplest, instead of those that seem the most mysterious.
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I cannot articulate enough to express my dislike to people who think that understanding spoils your experience... How would they know?
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